Inhibikase Therapeutics (IKT) Shares Outstanding (2019 - 2026)
Inhibikase Therapeutics (IKT) posted Shares Outstanding of 174.57 million for Q2 2026, up 93.9% from 90.01 million a year earlier and up 1.3% from the prior quarter.
Inhibikase Therapeutics (IKT) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Inhibikase Therapeutics' Shares Outstanding came in at 98.31 million, up 314.6% from FY2024.
- Annual Shares Outstanding has increased for five consecutive years, with a five-year compound annual growth rate of 135.1% (FY2020 to FY2025).
- In prior years, Inhibikase Therapeutics' Shares Outstanding was 23.71 million in FY2024 (+344.6%), 5.33 million in FY2023 (+26.9%), 4.2 million in FY2022 (+38.5%) and 3.03 million in FY2021 (+121.7%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q1 2020.
- On a year-over-year basis, Shares Outstanding has increased in each of the last four quarters, with growth averaging 304.3% over the last six quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.3% in Q3 2022 to 913.8% in Q3 2025.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 172.31 million (Q1 2026), 98.31 million (Q4 2025) and 90.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Inhibikase Therapeutics | 281.11 Mn | -420.36 Mn | - | 181.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 181.36 Mn |
| Jun 30, 2026 | 174.57 Mn |
| Mar 31, 2026 | 172.31 Mn |
| Dec 31, 2025 | 98.31 Mn |
| Sep 30, 2025 | 90.05 Mn |
| Jun 30, 2025 | 90.01 Mn |
| Mar 31, 2025 | 89.54 Mn |
| Dec 31, 2024 | 23.71 Mn |
| Sep 30, 2024 | 8.88 Mn |
| Jun 30, 2024 | 7.54 Mn |
| Mar 31, 2024 | 6.34 Mn |
| Dec 31, 2023 | 5.33 Mn |
| Sep 30, 2023 | 5.34 Mn |
| Jun 30, 2023 | 5.23 Mn |
| Mar 31, 2023 | 4.59 Mn |
| Dec 31, 2022 | 4.20 Mn |
| Sep 30, 2022 | 4.20 Mn |
| Jun 30, 2022 | 4.20 Mn |
| Mar 31, 2022 | 4.20 Mn |
| Dec 31, 2021 | 3.03 Mn |
Inhibikase Therapeutics Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding&ticker=IKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "IKT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=IKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();